Introduction to Mixed-effects Models in R workshop

[This article was first published on R-posts.com, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Learn how to use mixed-effects models in R! Join our workshop on Introduction to Mixed-effects Models in R which is a part of our workshops for Ukraine series. 


Here’s some more info: 


Title: Introduction to Mixed-effects Models in R

Date: Thursday, June 22nd, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

Speaker: Philip Leftwich is an Associate Professor of Genetics and Data Science at the University of East Anglia, Norwich, UK. He teaches R programming and statistics on various modules and workshops at undergraduate and postgraduate levels. His research interests include genetics, genomics and synthetic biology as tools to help combat agricultural and disease-carrying insect pests.

Description: Mixed-effects models are indispensable in analyzing data with hierarchical or nested structures. Unlike traditional linear regression models, mixed-effects models account for both fixed effects (applying to the entire population) and random effects (varying across groups). This unique capability allows researchers to examine how individual and group-level factors work together simultaneously, providing a comprehensive understanding of the data. In fields like social sciences, education, biology, and economics, where hierarchical data is prevalent, mixed-effects models significantly enhance the precision and reliability of statistical analyses. Mastering these models empowers researchers to extract valuable insights from complex datasets effectively.

In this introductory workshop, we will cover the basics of analyzing hierarchical data. Participants will learn about the difference between fixed and random effects, model formulation, estimation, and interpretation. We will discuss assumptions, model comparison and selection, practical implementation with R, and model validation. We will work through real-world examples to showcase the applications and benefits of mixed-effects models in various fields.

Minimal registration fee: 20 euro (or 20 USD or 800 UAH)



How can I register?


  • Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)
  • Fill in the registration form, attaching a screenshot of a donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after donation).

If you are not personally interested in attending, you can also contribute by sponsoring a participation of a student, who will then be able to participate for free. If you choose to sponsor a student, all proceeds will also go directly to organisations working in Ukraine. You can either sponsor a particular student or you can leave it up to us so that we can allocate the sponsored place to students who have signed up for the waiting list.


How can I sponsor a student?

  • Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)
  • Fill in the sponsorship form, attaching the screenshot of the donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after the donation). You can indicate whether you want to sponsor a particular student or we can allocate this spot ourselves to the students from the waiting list. You can also indicate whether you prefer us to prioritize students from developing countries when assigning place(s) that you sponsored.

If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).


You can also find more information about this workshop series,  a schedule of our future workshops as well as a list of our past workshops which you can get the recordings & materials here.


Looking forward to seeing you during the workshop!














Introduction to Mixed-effects Models in R workshop was first posted on June 2, 2023 at 2:54 pm.
To leave a comment for the author, please follow the link and comment on their blog: R-posts.com.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)